SiGe Epitaxy Process Engineer – 300mm Fab Optimization

Texas Instruments Incorporated; Richardson (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

Texas Instruments Incorporated is seeking an energetic Manufacturing Process Engineer with a passion for process improvement. The role focuses on developing and implementing methods that improve efficiencies, yields, machine operations, and quality across a high-volume 300mm wafer fab.

Collaborate with engineering teams to identify and resolve systematic process or equipment issues, support ramp programs, and drive data-driven problem resolution.

Qualifications

Responsibilities

• Support manufacturing operations
• Develop and implement improved methods of manufacturing, procedures, and processes that result in improved efficiencies, yields, machine operations, and quality
• Implement project or improvement plans for areas of responsibility including but not limited to: efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements
• Perform lot and equipment dispositions to support the continuous flow of production and to minimize cycle time in a high volume manufacturing 300mm wafer Fab running Analog Technologies
• Identify systematic problems in either process or equipment related sources and communicating findings to the engineering staff in a continuous manner
• Support the manufacturing ramp with execution of equipment/process startup, process experiments (SWRs)
• Participate in data analysis and problem resolution

Skills

Manufacturing process engineering

Continuous improvement

Data analysis

Problem solving

Job description

Texas Instruments Incorporated is seeking an energetic Manufacturing Process Engineer with a passion for process improvement. The role focuses on developing and implementing methods that improve efficiencies, yields, machine operations, and quality across a high-volume 300mm wafer fab.

Collaborate with engineering teams to identify and resolve systematic process or equipment issues, support ramp programs, and drive data-driven problem resolution.